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Question #1
In a simple linear regression model, the least squares estimators for the intercept and
slope of the population regression line are computed by minimizing
Hint:
There are 5 correct answers.
•
the absolute differences between the values of the dependent variable and
its conditional means.
•
the SSE.
•
the sample correlation coefficient.
•
the Rsquare.
•
the sum of squared residuals.
•
the error sum of squares.
•
the sum of the differences between the values of the dependent variable and
its conditional means.
•
the SST.
•
the sum of the absolute discrepancies between the values of the dependent
variable and its fitted values.
•
the sum of squared discrepancies between the values of the dependent
variable and its estimated conditional means.
•
the SSR.
•
the squared differences between the actual values of the dependent variable
and its estimated conditional means.
•
the sum of squared differences between the observed values of the
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 Spring '09
 PETRY

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